Senior Data Scientist / Data Engineer

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Requirements:

• Designing and developing data flows and ETL processes using modern storage solutions (e.g., Snowflake, AWS Redshift, GCP BigQuery).
• Applying advanced statistical methods and machine/deep learning algorithms to real world data
• Professional work experience in at least one of the following languages: Python, SQL, JavaScript, dbt.

Responsibilities:

• Apply specific fit-for-purpose methods and implement analytics and processing algorithms
• Onboard data into Snowflake and database systems and implement data loads and data analysis; incl. backend development in SQL
• Operationalize models leveraging AWS micro services and set up optimal architectures for the data science projects in AWS
• Lead projects independently, partnering with business stakeholders to ensure business needs are met
• Partner with colleagues, peers and stakeholders globally, and work on initiatives and projects in different regions
• Build and strengthen relationships with other departments/groups across Roche to help identify synergies and streamline redundancies
• Create and manage documentation for different data science / data engineering projects.
• Collaborate in an agile and cross-functional team with other Data Scientists, Automation experts as well as business experts, so our Roche peers and patients will receive AMAZING solutions
• Performs demos, project reviews, and retrospectives; communicates ideas for team Analytics & Automation and willingly receives feedback for self-improvement
• Participate in exploratory projects to evaluate new technologies and establish new services
• Embrace new ways of working with fast iterations, lean documentation and planning, close alignment to our colleagues from business and IT and close communication across global teams